a'Trous小波与HIS变换相结合的遥感影像融合分析     

董张玉  赵萍  胡文亮 《测绘科学》2011,36(2):178-180

采用a'trous小波与HIS变换相结合的方法对Aster多光谱影像和资源二号全色影像进行融合实验和评价,并与传统的HIS变换和小波变换融合方法加以对比.结果表明:a'trous小波与HIS变换相结合的融合效果最好,吸取了两种单一融合方法的优点,不仅较大程度上提高了原始影像的空间细节表达能力,而且很好地保留了原始影像的...  相似文献   

改进IHS变换的图像融合方法研究     

张丽侠  张力  艾海滨 《测绘科学》2011,36(6):149-151,143

经典的IHS变换融合以其快速、简单的特点得到广泛应用,但该方法在显著提高图像空间分辨率的同时引起了严重的光谱失真.本文分析了IHS变换引起光谱失真的原因,并总结了已有的针对光谱失真的IHS变换改进算法,提出基于小波的IHS变换融合,利用小波分解尽可能地保留了原I分量中的光谱信息,在提高空间分辨率的同时减少了光谱失真.实...  相似文献   

利用最优估计理论进行多光谱与全色影像融合     

黄登山  杨敏华  胥海威  姚学恒 《武汉大学学报(信息科学版)》2011,36(9)

应用小波变换分解遥感影像,利用遥感影像自身的先验信息——空间分辨率确定高频域融合过程中的权值,使用最小二乘估计与小波重构完成影像融合。实验结果表明,相对于参考的其他融合方法,此方法在注入全色影像空间细节和保持多光谱影像的光谱信息方面性能更佳。  相似文献   

变形测量异常数据处理中小波变换最佳级数的确定   总被引：3，自引：1，他引：2  

李宗春  邓勇  张冠宇  杨晓晖 《武汉大学学报(信息科学版)》2011,(3)

综合分析数据去噪效果的4个分项评价指标,即数据的均方根差变化量、互相关系数、信噪比及平滑度,将各分项评价指标归化到0,1后相加得到总体评价指标,将总体评价指标最大值所对应的级数定义为小波分解与重构的最佳级数。模拟和实测两个算例验证了此方法的有效性。  相似文献   

遥感自动提取海岸线方法   总被引：1，自引：0，他引：1  

丁亚杰 《地理空间信息》2011,(4):37-39

利用遥感技术确定海岸线位置的问题受到关注由来已久,就其在国内外的研究现状做了介绍,利用小波边缘检测算子提取出黄河三角洲河口区2004年Landsat TM图像的海岸线位置;在分析小波算子与传统边缘提取方法相比的优点的同时,并就其存在的不足提出了今后的研究重点。  相似文献   

基于可操纵金字塔和IHS变换的遥感影像融合     

李博  肖模艳  于加 《地理空间信息》2011,(6):83-84,88

提出了一种基于可操纵金字塔和IHS变换的遥感影像融合方法。对多光谱（MS）图像的强度分量和全色图像（PAN）分别进行可操纵金字塔分解,针对金字塔分解后的低频、高频和各带通子图像分别采取不同的融合规则获得融合子图像,再先后通过可操纵金字塔框架下的逆变换和IHS逆变换得到融合图像。实验结果表明,该方法在增强影像细节信息、保...  相似文献   

The Impact of Agricultural Practices in China on Land-Atmosphere Interactions     

XU Xingkui  Jason K. LEVY 《大气科学进展》2011,28(4):821-831

Human-induced land use changes and the resulting alterations in vegetation features are major but poorly recognized drivers of regional climatic patterns.In order to investigate the impacts of anthropogenically-induced seasonal vegetation cover changes on regional climate in China,harmonic analysis is applied to 1982-2000 National Oceanic and Atmospheric Administration(NOAA) Advanced Very High Resolution Radiometer(AVVHRR)-derived normalized difference vegetation index(NDVI) time series(ten day interval data).For two climatic divisions of South China,it is shown that the first harmonic term is in phase with air temperature,while the second and third harmonics are in phase with agricultural cultivation.The Penman-Monteith Equation and the Complementary Relationship Areal Evapotranspiration(CRAE) model suggest that monthly mean evapotranspiration is out of phase with temperature and precipitation in regions with signiffcant second or third harmonics.Finally,seasonal vegetation cover changes associated with agricultural cultivation are identiffed:for cropped areas,the temperature and precipitation time series have a single maximum value,while the monthly evapotranspiration time series has a bimodal distribution.It is hypothesized that multi-cropping causes the land surface albedo to sharply increase during harvesting,thereby altering the energy distribution ratio and contributing to observed seasonal vegetation cover changes.  相似文献   

北印度洋—南海海面风速和有效波高的年代际变化     

周林  梅勇  王慧娟  郑崇伟 《南京气象学院学报》2011,34(5):547-554

采用1958年1月—2001年12月ECMWF ERA-40的10m风场资料,以及由该风场资料驱动WAVEWATCHⅢ得到的北印度洋—南海海域44a的海浪场资料,通过EOF分析、正交小波分析和M-K检测方法,分析了北印度洋—南海海域海面风场和有效波高的年代际变化特征。结果表明：北印度洋—南海海域存在3个大风、大浪区,其中亚丁湾以东洋面风力最强,有效波高最高;表面风场和有效波高存在35、15和3a的主周期变化,并自20世纪70年代中期以来,年平均风场和有效波高均存在明显增强趋势,1977年为突变起始年;年平均海表10m风速和有效波高随时间增大主要是由冬季和春季海表10m风速和有效波高随时间增大引起的;冬、秋季海面风场与有效波高的年际、年代际变化周期较一致,冬季以35～40a的周期为主,秋季以11～12a的周期为主。  相似文献   

Wavelet-based detection of bush encroachment in a savanna using multi-temporal aerial photographs and satellite imagery     

《International Journal of Applied Earth Observation and Geoinformation》2015

Although increased woody plant abundance has been reported in tropical savannas worldwide, techniques for detecting the direction and magnitude of change are mostly based on visual interpretation of historical aerial photography or textural analysis of multi-temporal satellite images. These techniques are prone to human error and do not permit integration of remotely sensed data from diverse sources. Here, we integrate aerial photographs with high spatial resolution satellite imagery and use a discrete wavelet transform to objectively detect the dynamics in bush encroachment at two protected Zimbabwean savanna sites. Based on the recently introduced intensity-dominant scale approach, we test the hypotheses that: (1) the encroachment of woody patches into the surrounding grassland matrix causes a shift in the dominant scale. This shift in the dominant scale can be detected using a discrete wavelet transform regardless of whether aerial photography and satellite data are used; and (2) as the woody patch size stabilises, woody cover tends to increase thereby triggering changes in intensity. The results show that at the first site where tree patches were already established (Lake Chivero Game Reserve), between 1972 and 1984 the dominant scale of woody patches initially increased from 8 m before stabilising at 16 m and 32 m between 1984 and 2012 while the intensity fluctuated during the same period. In contrast, at the second site, which was formely grass-dominated site (Kyle Game Reserve), we observed an unclear dominant scale (1972) which later becomes distinct in 1985, 1996 and 2012. Over the same period, the intensity increased. Our results imply that using our approach we can detect and quantify woody/bush patch dynamics in savanna landscapes.  相似文献   

基于小波变换和HIS变换的海冰SAR与光学遥感影像融合方法研究   总被引：3，自引：2，他引：1  

刘眉洁  戴永寿  张杰  张晰  孟俊敏  谢钦川 《海洋学报(英文版)》2015,34(3):59-67

Sea ice as a disaster has recently attracted a great deal of attention in China. Its monitoring has become a routine task for the maritime sector. Remote sensing, which depends mainly on SAR and optical sensors, has become the primary means for sea-ice research. Optical images contain abundant sea-ice multi-spectral information, whereas SAR images contain rich sea-ice texture information. If the characteristic advantages of SAR and optical images could be combined for sea-ice study, the ability of sea-ice monitoring would be improved. In this study, in accordance with the characteristics of sea-ice SAR and optical images, the transformation and fusion methods for these images were chosen. Also, a fusion method of optical and SAR images was proposed in order to improve sea-ice identification. Texture information can play an important role in sea-ice classification. Haar wavelet transformation was found to be suitable for the sea-ice SAR images, and the texture information of the sea-ice SAR image from Advanced Synthetic Aperture Radar(ASAR) loaded on ENVISAT was documented. The results of our studies showed that, the optical images in the hue-intensity-saturation(HIS) space could reflect the spectral characteristics of the sea-ice types more efficiently than in the red-green-blue(RGB) space, and the optical image from the China-Brazil Earth Resources Satellite(CBERS-02B) was transferred from the RGB space to the HIS space. The principal component analysis(PCA) method could potentially contain the maximum information of the sea-ice images by fusing the HIS and texture images. The fusion image was obtained by a PCA method, which included the advantages of both the sea-ice SAR image and the optical image. To validate the fusion method, three methods were used to evaluate the fused image, i.e., objective, subjective, and comprehensive evaluations. It was concluded that the fusion method proposed could improve the ability of image interpretation and sea-ice identification.  相似文献